• Explainable Machine Learning for Customer Churn Prediction 

      Ødegård, Jesper; Meek, Marcus André Glover (Master thesis, 2023)
      Denne avhandlingen er avgrenset til finansielle data om kunder fra en samarbeidende bank, og eksterne og makroøkonomiske data. Avhandlingen undersøker hvilke \\egenskaper hos lånekunder som kan påvirke sannsynligheten for ...
    • Explainable Neural Based News Recommender Systems 

      Gjelstad, Lars Kristian Gjelstad; Fålun, Eivind (Master thesis, 2021)
      De siste årene har bevitnet økt innsats forbundet med utviklingen av verktøy for å assistere brukere i å navigere nettbaserte underholdningstjenester gjennom anbefalingssystemer. Denne innsatsen er ikke ubegrunnet, da det ...
    • Explainable Neural News Recommender Systems 

      Fålun, Eivind; Gjelstad, Lars Kristian (Master thesis, 2021)
      De siste årene har bevitnet økt innsats forbundet med utviklingen av verktøy for å assistere brukere i å navigere nettbaserte underholdningstjenester gjennom anbefalingssystemer. Denne innsatsen er ikke ubegrunnet, da det ...
    • Explainable Research Paper Recommendation Using Scientific Knowledge Graphs 

      Liadal, Olaf (Master thesis, 2021)
      Vitskapsfolk kan føle seg fortapte i søk etter relevant vitskapleg litteratur blant dei store mengdene som publiserast på dagleg basis. Målet til arXivDigest, som er ein teneste for anbefaling av vitskapleg litteratur, og ...
    • Explainable Visualization for Morphing Attack Detection 

      Myhrvold, Henning; Zhang, Haoyu; Tapia, Juan; Ramachandra, Raghavendra; Busch, Christoph Günther (Peer reviewed; Journal article, 2022)
      Detecting morphed face images has become critical for maintaining trust in automated facial biometric verification systems. It is well demonstrated that better biometric performance of the Face Recognition System (FRS) ...
    • Explaining a Deep Reinforcement Learning Agent Using Regression Trees 

      Løver, Jakob (Master thesis, 2021)
      Bruken av "svart-boks"-modeller innen maskinlæring skaper problemer for systemer med fokus på sikkerhet. Systemer som nyttegjør seg av dyp forsterkende læring (engelsk: deep reinforcement learning / DRL) designes ofte med ...
    • Explaining a deep reinforcement learning docking agent using linear model trees with user adapted visualization 

      Gjærum, Vilde Benoni; Strumke, Inga; Alsos, Ole Andreas; Lekkas, Anastasios M. (Peer reviewed; Journal article, 2021)
      Deep neural networks (DNNs) can be useful within the marine robotics field, but their utility value is restricted by their black-box nature. Explainable artificial intelligence methods attempt to understand how such ...
    • Explaining Bitcoin’s price fluctuations 

      Meland, Maria; Øyen, Vilde (Master thesis, 2017)
      The purpose of this study is to uncover factors that may help explain Bitcoin’s price fluctuations. The price of the cryptocurrency Bitcoin is volatile and has increased from zero in 2009 to an all-time high of 1287USD ...
    • Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study 

      Marin Veites, Paola; Bach, Kerstin (Chapter, 2022)
      Explainability in AI is becoming increasingly important as we delegate more safety-critical tasks to intelligent decision support systems. Case-Based Reasoning (CBR) systems are one way to build such systems. Understanding ...
    • Explaining decoupling in high income countries: A structural decomposition analysis of the change in energy footprint from 1970 to 2009 

      Kulionis, Viktoras; Wood, Richard (Peer reviewed; Journal article, 2020)
      The decoupling of energy use from economic growth is an essential element in the transition to a sustainable future. However, little is known about the long-term drivers of decoupling, especially considering the possibility ...
    • Explaining deep learning methods for recommender systems 

      Bjørgen, Erik; Hambro, Carl Johan (Master thesis, 2019)
      Systemkrav for anbefalingssystemer er i stadig endring. Formatet til anbefalinger, samt GDPR, har bragt med seg nye krav for anbefalingene som blir gitt. Forklarbarhet eller tolkbarhet er ett av disse nye kravene. orklarbarhet ...
    • Explaining deep learning methods for recommender systems 

      Bjørgen, Erik; Hambro, Carl Johan (Master thesis, 2019)
      Systemkrav for anbefalingssystemer er i stadig endring. Formatet til anbefalinger, samt GDPR, har bragt med seg nye krav for anbefalingene som blir gitt. Forklarbarhet eller tolkbarhet er ett av disse nye kravene. Forklarbarhet ...
    • Explaining Deep Learning Models for Credit Scoring with SHAP: A Case Study Using Open Banking Data 

      Hjelkrem, Lars Ole; de Lange, Petter Eilif (Peer reviewed; Journal article, 2023)
      Predicting creditworthiness is an important task in the banking industry, as it allows banks to make informed lending decisions and manage risk. In this paper, we investigate the performance of two different deep learning ...
    • Explaining depression symptoms in patients with social anxiety disorder: Do maladaptive metacognitive beliefs play a role? 

      Nordahl, Henrik; Nordahl, Hans Morten; Vogel, Patrick A.; Wells, Adrian (Journal article; Peer reviewed, 2018)
      Social anxiety disorder (SAD) is a major risk factor for developing symptoms of depression. Severity of social anxiety has previously been identified as a risk factor, and cognitive models emphasize dysfunctional schemas ...
    • Explaining fake news 

      Ulvund, Leif (Master thesis, 2021)
      Dagens nyhetsbilde står forran en stor utfordring på grunn av mengden falske nyheter som florerer. Selv om en nyhetsartikkel kan bli automatisk detektert som falsk er det fremdeles vanskelig å forklare forskjellen mellom ...
    • Explaining gender differences in preschoolers’ attachment style 

      Tønnessen, Ellen (Master thesis, 2014)
      Gender has throughout most attachment literature not been considered an important factor in the development of individual differences in attachment. However, some studies on preschoolers, especially using story ...
    • Explaining learning performance using response-time, self-regulation and satisfaction from content: an fsQCA approach 

      Papamitsiou, Zacharoula; Economides, Anastasios; Pappas, Ilias; Giannakos, Michail (Chapter, 2018)
      This study focuses on compiling students' response-time allocated to answer correctly or wrongly, their self-regulation, as well as their satisfaction from content, in order to explain high or medium/low learning performance. ...
    • Explaining motivational antecedents of citizenship behavior among preservice teachers 

      Christophersen, Knut-Andreas; Elstad, Eyvind; Solhaug, Trond; Turmo, Are (Journal article; Peer reviewed, 2015)
      A typical preservice teacher will experience demanding teaching situations during practicum. In such situations, interpersonal support from fellow students may be an important factor if experiences gained during teaching ...
    • Explaining Outcome Differences between Men and Women following Mild Traumatic Brain Injury 

      Mikolic, Ana; Groeniger, Joost Oude; Zeldovich, Marina; Wilson, Lindsay; van Lennep, Jeanine Roeters; van Klaveren, David; Polinder, Suzanne; Andelic, Nada; Andreassen, Lasse; Anke, Audny Gabriele Wagner; Frisvold, Shirin; Helseth, Eirik; Røe, Cecilie; Røise, Olav; Skandsen, Toril; Vik, Anne; Åkerlund, Cecilia; Amrein, Krisztina; Antoni, Anna; Audibert, Gerard; Azouvi, Philippe; Azzolini, Maria luisa; Bartels, Ronald; Barzo, Pal; Beauvais, Romuald; Beer, Ronny; Bellander, Bo-michael; Belli, Antonio; Benali, Habib; Berardino, Maurizio; Beretta, Luigi; Blaabjerg, Morten; Bragge, Peter; Brazinova, Alexandra; Brinck, Vibeke; Brooker, Joanne; Brorsson, Camilla; Buki, Andras; Bullinger, Monika; Cabeleira, Manuel; Caccioppola, Alessio; Calappi, Emiliana; Calvi, Maria rosa; Cameron, Peter; Lozano, Guillermo carbayo; Carbonara, Marco; Chevallard, Giorgio; Chieregato, Arturo; Citerio, Giuseppe; Cnossen, Maryse; Coburn, Mark (Peer reviewed; Journal article, 2021)
      Men and women differ in outcomes following mild traumatic brain injury (TBI). In the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study, we previously found that women ...
    • Explaining Public Disagreement over Risk: The Case of Disasters 

      Aamodt, Espen (Master thesis, 2012)
      Citizens’ perceptions of the risk associated with various kinds of disasters are important. Public opinion on these matters can both compel and constrain political, economic and social efforts to address issues related to ...